This study contributes to dealing with disturbances happening on an urban rail transit line. In order to neutralize the negative effect on passengers, the problem is studied from the passenger-oriented perspective, and a timetable rescheduling model is proposed to reduce the waiting time of all passengers by improving the evenness of headway. Then, the benchmark time method is introduced to determine the specific range of each decision variable, which is combined with an efficient genetic algorithm to solve the large-scale problem within limited time. Finally, some numerical experiments based on a real-world case derived from a Beijing Subway line are carried out. Results show that the proposed method is able to improve the evenness of headway obviously and to generate a good enough rescheduled timetable efficiently.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Timetable Rescheduling Considering Headway: A Genetic Algorithm Combined with the Benchmark Time Method


    Beteiligte:
    Xu, Wenkai (Autor:in) / Xie, Binglei (Autor:in) / Zhang, Xi (Autor:in) / Ning, Liqiao (Autor:in)


    Erscheinungsdatum :

    2020-09-01


    Format / Umfang :

    263054 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Reinforcement Learning in Railway Timetable Rescheduling

    Zhu, Yongqiu / Wang, Hongrui / Goverde, Rob M.P. | IEEE | 2020


    The multi-objective railway timetable rescheduling problem

    Binder, Stefan / Maknoon, Yousef / Bierlaire, Michel | Elsevier | 2017


    Train Timetable Optimizing and Rescheduling Based on Improved Particle Swarm Algorithm

    Meng, Xuelei / Jia, Limin / Qin, Yong | Transportation Research Record | 2010


    On-Line Timetable Rescheduling in a Transit Line

    Ortega, Francisco A. / Pozo, Miguel A. / Puerto, Justo | British Library Online Contents | 2018


    Passenger-centric timetable rescheduling: A user equilibrium approach

    Binder, S. / Maknoon, M.Y. / Sharif Azadeh, Sh. et al. | Elsevier | 2021